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Setting the

path

in deployments within a

prefect.yaml

file depends on the Prefect version you are using. Here's a general summary based on the latest Prefect 2.x and 3.x documentation: ### For Prefect 2.x and 3.x The

prefect.yaml

file contains metadata and configuration information for your deployments. To set any specific paths or configurations, you generally include them within different sections such as

build

,

push

,

pull

, and

deployments

. #### Example Structure Here is a basic structure showing how you might configure deployments in `prefect.yaml`:

yaml
# generic metadata
prefect-version: 2.x.x or 3.x.x
name: my-prefect-project

# preparation steps
build: null
push: null

# runtime steps
pull: 
  - prefect.deployments.steps.set_working_directory:
      directory: /your/path/to/working/directory

# deployment configurations
deployments:
  - name: my-flow-deployment
    version: null
    tags: []
    description: null
    entrypoint: path/to/your/flow.py:flow_name
    parameters: {}
    work_pool:
      name: your-work-pool
      work_queue_name: null
      job_variables: {}
    schedules: []

    # Add specific configuration like path in the pull section
    pull:
      - prefect.deployments.steps.set_working_directory:
          directory: /your/path/to/working/directory

You can customize the

directory

fields to set the path for various parts of your deployment. ### Key Points 1. Set Working Directory: The

prefect.deployments.steps.set_working_directory

step allows you to specify the directory. 2. Deployment Specific Configuration: Each deployment can have its own

pull

section specifying paths. #### Documentation References - For a detailed overview, you can refer to the official Prefect documentation on deploying with `prefect.yaml`: - Prefect 2.x Deployments Guide - Prefect 3.x Deployments Guide Feel free to adjust the settings based on your specific requirements and Prefect version! If you need more detailed configurations, refer to the deployment recipes and examples provided in the documentation.

@Marvin when doing so it still does not appear in the path section on the ui in prefect cloud

The issue where the

path

section in the UI for Prefect Cloud does not reflect the configurations specified in your

prefect.yaml

file could be due to a few reasons based on the current understanding and official documentation for Prefect. ### Possible Issues 1. Incorrect path or field usage: Verify that all paths and fields are accurate and match those expected by Prefect. 2. Block References: Ensure any block references are correctly defined and resolved. Sometimes, the references might not be populated as expected. 3. Deployment Caching: Sometimes, changes might not be immediately reflected due to caching issues. Restarting the environment can help. ### Example Configuration Here's an example of how you might set the

path

and ensure the correct setup in `prefect.yaml`:

yaml
# Generic metadata about this project
name: example-project
prefect-version: 2.11.0

# Preparation steps
build:
  - prefect_docker.deployments.steps.build_docker_image:
      tag: "example:latest"
push: null

# Runtime steps
pull:
  - prefect.deployments.steps.set_working_directory:
      directory: /your/directory/path

# Deployment configurations
deployments:
  - name: example-deployment
    version: null
    tags: []
    description: "Example deployment"
    entrypoint: path/to/flow.py:flow_function
    parameters: {}
    work_pool:
      name: your-work-pool
      work_queue_name: default
      job_variables:
        image: "example:latest"
    pull:
      - prefect.deployments.steps.set_working_directory:
          directory: /specific/path/for/deployment

### References and Further Reading Please check the links below for more detailed information and examples on configuring deployments: - Prefect 2.x Deployment Guide - Prefect 3.x Deployment Guide ### Troubleshooting - Confirm the Prefect version to ensure you're following the correct documentation. - Verify the correct referencing and path settings. - Restart your Prefect environment to clear any potential caching issues. If the path still does not appear in the UI, check Prefect's GitHub issues page for any unresolved bugs or reach out to Prefect's support for more specific guidance: - GitHub Issues for Prefect Let me know if you need any further assistance!

@Marvin can I have multiple pull steps? e.g. if I want to pull from azure blob storage and set a working directory for path?

Yes, you can have multiple pull steps in your

prefect.yaml

file for your deployments. This allows you to perform different pull actions sequentially, such as pulling from Azure Blob Storage and then setting a working directory. Here’s an example of how you might configure this in your

prefect.yaml

file:

yaml
# Generic metadata about this project
name: example-project
prefect-version: 2.11.0

# Preparation steps
build:
  - prefect_docker.deployments.steps.build_docker_image:
      tag: "example:latest"
push: null

# Runtime steps
pull:
  - prefect_azure.deployments.steps.pull_from_blob_storage:
      requires: prefect-azure>=0.3.0
      account_name: "<your-account-name>"
      container: "<your-container>"
      blob: "<your-blob>"
      local_path: "/your/local/path"
      credentials: "{{ prefect.blocks.azure-credentials.block-name }}"
  
  - prefect.deployments.steps.set_working_directory:
      directory: "/your/local/path"

# Deployment configurations
deployments:
  - name: example-deployment
    version: null
    tags: []
    description: "Example deployment"
    entrypoint: path/to/flow.py:flow_function
    parameters: {}
    work_pool:
      name: your-work-pool
      work_queue_name: default
      job_variables:
        image: "example:latest"
    pull:
      - prefect_azure.deployments.steps.pull_from_blob_storage:
          requires: prefect-azure>=0.3.0
          account_name: "<your-account-name>"
          container: "<your-container>"
          blob: "<your-blob>"
          local_path: "/specific/path/for/deployment"
          credentials: "{{ prefect.blocks.azure-credentials.block-name }}"
        
      - prefect.deployments.steps.set_working_directory:
          directory: "/specific/path/for/deployment"

In this configuration: 1. The first pull step uses the

prefect_azure.deployments.steps.pull_from_blob_storage

to download content from Azure Blob Storage to a local path. 2. The second pull step uses

prefect.deployments.steps.set_working_directory

to set the working directory to the specified path where the blob content was pulled. ### Documentation References - Prefect 2.x Deployment Guide: Prefect 2.x Deployment Guide - Prefect 3.x Deployment Guide: Prefect 3.x Deployment Guide - Prefect Azure Integration: Prefect Azure Blob Storage This setup ensures your multiple pull steps are executed in order, allowing you to properly manage your deployment environment setup.

@Marvin can you do an update with azure blob storage

Certainly! To update your deployment to pull from Azure Blob Storage and then set a working directory, you can configure your

prefect.yaml

file as follows: ### Example Configuration 1. Pull from Azure Blob Storage: Use the

prefect_azure.deployments.steps.pull_from_blob_storage

step to download content from Azure Blob Storage. 2. Set Working Directory: Use the

prefect.deployments.steps.set_working_directory

step to set the working directory. Here's the updated

prefect.yaml

configuration:

yaml
# Generic metadata about this project
name: example-project
prefect-version: 2.11.0

# Preparation steps
build:
  - prefect_docker.deployments.steps.build_docker_image:
      tag: "example:latest"
push: null

# Runtime steps
pull:
  - prefect_azure.deployments.steps.pull_from_blob_storage:
      requires: prefect-azure>=0.3.0
      account_name: "<your-account-name>"
      container: "<your-container>"
      blob: "<your-blob-path>"
      local_path: "/local/path/for/blob"
      credentials: "{{ prefect.blocks.azure-credentials.block-name }}"

  - prefect.deployments.steps.set_working_directory:
      directory: "/local/path/for/blob"

# Deployment configurations
deployments:
  - name: example-deployment
    version: null
    tags: []
    description: "Example deployment"
    entrypoint: path/to/flow.py:flow_function
    parameters: {}
    work_pool:
      name: your-work-pool
      work_queue_name: default
      job_variables:
        image: "example:latest"
    pull:
      - prefect_azure.deployments.steps.pull_from_blob_storage:
          requires: prefect-azure>=0.3.0
          account_name: "<your-account-name>"
          container: "<your-container>"
          blob: "<your-blob-path>"
          local_path: "/local/path/for/blob"
          credentials: "{{ prefect.blocks.azure-credentials.block-name }}"

      - prefect.deployments.steps.set_working_directory:
          directory: "/local/path/for/blob"

### Detailed Steps 1. prefect_azure.deployments.steps.pull_from_blob_storage: - account_name: Your Azure Storage account name. - container: The name of your container in Azure Blob Storage. - blob: The path of the blob or directory you want to download within the container. - local_path: The local path where the contents should be downloaded. - credentials: A reference to your Azure credentials block. 2. prefect.deployments.steps.set_working_directory: - directory: The local directory set after pulling from Azure Blob Storage. Make sure your Azure credentials are stored securely in a Prefect block, which you can reference in your YAML configuration. ### References - Prefect Azure Documentation: Prefect Azure Blob Storage for more details on using Azure Blob Storage with Prefect. - Prefect YAML Configuration: Prefect Documentation on YAML This configuration ensures that your deployment will first pull the necessary files from Azure Blob Storage and then set the working directory correctly before running your flow.

@Marvin why is it not prefect_azure.deployments.steps.pull_from_azure_blob_storage

The correct step name for pulling from Azure Blob Storage in Prefect is indeed

prefect_azure.deployments.steps.pull_from_azure_blob_storage

. Here's how you can configure multiple pull steps in your

prefect.yaml

file: ### Correct Configuration for Multiple Pull Steps 1. Pull from Azure Blob Storage: Use the

prefect_azure.deployments.steps.pull_from_azure_blob_storage

step to download content from Azure Blob Storage. 2. Set Working Directory: Use the

prefect.deployments.steps.set_working_directory

step to set the working directory. Here's the updated

prefect.yaml

configuration:

yaml
# Generic metadata about this project
name: example-project
prefect-version: 2.11.0

# Preparation steps
build:
  - prefect_docker.deployments.steps.build_docker_image:
      tag: "example:latest"
push: null

# Runtime steps
pull:
  - prefect_azure.deployments.steps.pull_from_azure_blob_storage:
      requires: prefect-azure>=0.3.0
      account_name: "<your-account-name>"
      container: "<your-container>"
      blob: "<your-blob-path>"
      local_path: "/local/path/for/blob"
      credentials: "{{ prefect.blocks.azure-credentials.block-name }}"

  - prefect.deployments.steps.set_working_directory:
      directory: "/local/path/for/blob"

# Deployment configurations
deployments:
  - name: example-deployment
    version: null
    tags: []
    description: "Example deployment"
    entrypoint: path/to/flow.py:flow_function
    parameters: {}
    work_pool:
      name: your-work-pool
      work_queue_name: default
      job_variables:
        image: "example:latest"
    pull:
      - prefect_azure.deployments.steps.pull_from_azure_blob_storage:
          requires: prefect-azure>=0.3.0
          account_name: "<your-account-name>"
          container: "<your-container>"
          blob: "<your-blob-path>"
          local_path: "/specific/path/for/deployment"
          credentials: "{{ prefect.blocks.azure-credentials.block-name }}"

      - prefect.deployments.steps.set_working_directory:
          directory: "/specific/path/for/deployment"

### Explanation - `prefect_azure.deployments.steps.pull_from_azure_blob_storage`: This step pulls data from Azure Blob Storage and downloads it to a specified local path. - `prefect.deployments.steps.set_working_directory`: This step sets the working directory to the path where the blob content was downloaded. ### Documentation References - GitHub issue pointing to the use of `prefect_azure.deployments.steps.pull_from_azure_blob_storage`: Github Issue - Prefect 2.x Deployment Guide: Prefect 2.x Deployment Guide - Prefect 3.x Deployment Guide: Prefect 3.x Deployment Guide - Prefect Azure Integration Guide: Prefect Azure Documentation Make sure your Azure credentials are securely stored in a Prefect block, which you can reference in the YAML configuration. This setup will ensure that your deployment correctly pulls files from Azure Blob Storage and sets the working directory before running your flow.